PHYS08200605006 D.K. Hazra - Homi Bhabha National Institute
PHYS08200605006 D.K. Hazra - Homi Bhabha National Institute
PHYS08200605006 D.K. Hazra - Homi Bhabha National Institute
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CHAPTER 3. NON-LOCAL FEATURES IN THE PRIMORDIAL SPECTRUM<br />
3.3 Discussion<br />
In this chapter, our main aim has been to investigate if the CMB data support certain<br />
non-local features—i.e. a certain repeated and characteristic pattern that extends over a<br />
wide range of scales—in the primordial scalar power spectrum. With this goal in mind,<br />
we have studied two models of inflation, both of which contain oscillatory terms in the<br />
inflaton potential. The oscillations in the potential produces oscillations in the slow roll<br />
parameters, which in turn generate oscillations in the primordial as well as the CMB<br />
power spectra. Earlier work in this context had utilized the analytical expressions for the<br />
primordial power spectra, obtained in the slow roll approximation, to compare such models<br />
with the data [97, 98, 99]. Instead, we have used an accurate and efficient numerical<br />
code to arrive at the inflationary scalar and tensor power spectra. In fact, in order to ensure<br />
a good level of accuracy, rather than evolve a finite set of modes and interpolate, we<br />
have evolved and computed the inflationary perturbation spectra for all the modes that<br />
is required by CAMB to arrive at the corresponding CMB angular power spectra. While<br />
this reflects the extent of the numerical accuracy of our computations, the efficiency of the<br />
code can be gauged by the fact that we have able to been able to complete the required<br />
runs within a reasonable amount of time despite such additional demands.<br />
Prior experience, gained in a different context, had already suggested the possibility<br />
that small and continued oscillations in the scalar power spectra can lead to a better fit<br />
to the data [94]. This experience has been corroborated by the earlier [97, 98, 99] and our<br />
current analysis (in this context, see, however, Ref. [100]; we shall comment further on<br />
this point below). We find that, oscillations, such as those occur in the axion monodromy<br />
model lead to a superior fit to the data. In fact, as far as the WMAP seven-year data is<br />
concerned, on evaluating the CMB angular power spectrum at all the required multipoles<br />
without any interpolation, we obtain an improvement of about13 in the least squares parameterχ<br />
2 eff for the axion monodromy model, just as the earlier analytical efforts had [98].<br />
The time taken to compute the uninterpolated inflationary power spectra depends not<br />
only on the number of points required, but also on the frequency of the oscillations in the<br />
inflaton potentials that we have considered. In the case of the axion monodromy model,<br />
over the range of parameters that we have worked with, our code takes about 3–12 seconds<br />
to calculate the inflationary power spectra (both scalar and tensor) for the nearly<br />
2000k-points which are required by CAMB. While such a level efficiency seems adequate<br />
for comparing the models of our interest with the WMAP seven-year data, we found<br />
that evaluating the uninterpolated CMB angular power spectra for comparing with the<br />
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